IDEAS home Printed from https://ideas.repec.org/p/ulb/ulbeco/2013-378623.html
   My bibliography  Save this paper

From experimentation to scaling: what shapes the funnel of AI adoption?

Author

Listed:
  • Nicolas Ameye
  • Jacques Bughin
  • Nicolas van Zeebroeck

Abstract

No abstract is available for this item.

Suggested Citation

  • Nicolas Ameye & Jacques Bughin & Nicolas van Zeebroeck, 2024. "From experimentation to scaling: what shapes the funnel of AI adoption?," ULB Institutional Repository 2013/378623, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:ulb:ulbeco:2013/378623
    as

    Download full text from publisher

    File URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/378623/3/eint20241014.pdf
    File Function: Full text for the whole work, or for a work part
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Philipp Koellinger & Christian Schade, 2008. "Acceleration of Technology Adoption withing Firms," Tinbergen Institute Discussion Papers 08-081/3, Tinbergen Institute, revised 29 Sep 2009.
    2. Stoneman, P L, 1985. "Technological Diffusion : The Viewpoint of Economic Theory," The Warwick Economics Research Paper Series (TWERPS) 270, University of Warwick, Department of Economics.
    3. James J. Heckman, 1977. "Sample Selection Bias As a Specification Error (with an Application to the Estimation of Labor Supply Functions)," NBER Working Papers 0172, National Bureau of Economic Research, Inc.
    4. Hollenstein, Heinz & Woerter, Martin, 2008. "Inter- and intra-firm diffusion of technology: The example of E-commerce: An analysis based on Swiss firm-level data," Research Policy, Elsevier, vol. 37(3), pages 545-564, April.
    5. Lee, Yong Suk & Kim, Taekyun & Choi, Sukwoong & Kim, Wonjoon, 2022. "When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy," Technovation, Elsevier, vol. 118(C).
    6. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle.
    7. Battisti, Giuliana & Stoneman, Paul, 2003. "Inter- and intra-firm effects in the diffusion of new process technology," Research Policy, Elsevier, vol. 32(9), pages 1641-1655, October.
    8. Erik Brynjolfsson & Kristina McElheran, 2016. "The Rapid Adoption of Data-Driven Decision-Making," American Economic Review, American Economic Association, vol. 106(5), pages 133-139, May.
    9. Jayati Sarkar, 1998. "Technological Diffusion: Alternative Theories and Historical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 12(2), pages 131-176, April.
    10. Prasanna Tambe, 2014. "Big Data Investment, Skills, and Firm Value," Management Science, INFORMS, vol. 60(6), pages 1452-1469, June.
    11. Ameye, Nicolas & Bughin, Jacques & van Zeebroeck, Nicolas, 2023. "How uncertainty shapes herding in the corporate use of artificial intelligence technology," Technovation, Elsevier, vol. 127(C).
    12. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    13. Stefanie Haller & Iulia Siedschlag, 2011. "Determinants of ICT adoption: evidence from firm-level data," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3775-3788.
    14. Greenwood, Michael J. & Hunt, Gary L. & Kohli, Ulrich, 1997. "The factor-market consequences of unskilled immigration to the United States," Labour Economics, Elsevier, vol. 4(1), pages 1-28, March.
    15. Nils Grashof & Alexander Kopka, 2023. "Artificial intelligence and radical innovation: an opportunity for all companies?," Small Business Economics, Springer, vol. 61(2), pages 771-797, August.
    16. Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
    17. Blichfeldt, Henrik & Faullant, Rita, 2021. "Performance effects of digital technology adoption and product & service innovation – A process-industry perspective," Technovation, Elsevier, vol. 105(C).
    18. repec:bla:econom:v:54:y:1987:i:214:p:155-71 is not listed on IDEAS
    19. Damaskopoulos, Panagiotis & Evgeniou, Theodoros, 2003. "Adoption of New Economy Practices by SMEs in Eastern Europe," European Management Journal, Elsevier, vol. 21(2), pages 133-145, April.
    20. repec:bla:jecsur:v:12:y:1998:i:2:p:131-76 is not listed on IDEAS
    21. Battisti, Giuliana & Stoneman, Paul, 2005. "The intra-firm diffusion of new process technologies," International Journal of Industrial Organization, Elsevier, vol. 23(1-2), pages 1-22, February.
    22. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    23. Silvia Fabiani & Fabiano Schivardi & Sandro Trento, 2005. "ICT adoption in Italian manufacturing: firm-level evidence," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 14(2), pages 225-249, April.
    24. Bo E. Honoré & Luojia Hu, 2020. "Selection Without Exclusion," Econometrica, Econometric Society, vol. 88(3), pages 1007-1029, May.
    25. Gomez, Jaime & Vargas, Pilar, 2009. "The effect of financial constraints, absorptive capacity and complementarities on the adoption of multiple process technologies," Research Policy, Elsevier, vol. 38(1), pages 106-119, February.
    26. Flavio Calvino & Lea Samek & Mariagrazia Squicciarini & Cody Morris, 2022. "Identifying and characterising AI adopters: A novel approach based on big data," OECD Science, Technology and Industry Working Papers 2022/06, OECD Publishing.
    27. Ireland, N & Stoneman, P, 1986. "Technological Diffusion, Expectations and Welfare," Oxford Economic Papers, Oxford University Press, vol. 38(2), pages 283-304, July.
    28. Marc Gruber & Ian C. MacMillan & James D. Thompson, 2008. "Look Before You Leap: Market Opportunity Identification in Emerging Technology Firms," Management Science, INFORMS, vol. 54(9), pages 1652-1665, September.
    29. Mikalef, Patrick & Boura, Maria & Lekakos, George & Krogstie, John, 2019. "Big data analytics and firm performance: Findings from a mixed-method approach," Journal of Business Research, Elsevier, vol. 98(C), pages 261-276.
    30. Milgrom, Paul & Roberts, John, 1990. "Rationalizability, Learning, and Equilibrium in Games with Strategic Complementarities," Econometrica, Econometric Society, vol. 58(6), pages 1255-1277, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juan M. Gallego & Luis H. Gutiérrez & Sang H. Lee, 2015. "A firm-level analysis of ICT adoption in an emerging economy: evidence from the Colombian manufacturing industries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 191-221.
    2. Spyros Arvanitis & Marius Ley, 2013. "Factors Determining the Adoption of Energy-Saving Technologies in Swiss Firms: An Analysis Based on Micro Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(3), pages 389-417, March.
    3. Spyros Arvanitis & Michael Peneder & Christian Rammer & Tobias Stucki & Martin Wörter, 2016. "The adoption of green energy technologies: The role of policies in an international comparison," KOF Working papers 16-411, KOF Swiss Economic Institute, ETH Zurich.
    4. Xiang Bi & Connor Mullally, 2021. "Does Peer Adoption Increase the Diffusion of Pollution Prevention Practices?," Land Economics, University of Wisconsin Press, vol. 97(1), pages 224-245.
    5. Fuentelsaz, Lucio & Gómez, Jaime & Palomas, Sergio, 2016. "Interdependences in the intrafirm diffusion of technological innovations: Confronting the rational and social accounts of diffusion," Research Policy, Elsevier, vol. 45(5), pages 951-963.
    6. Qiangbing Chen & Yali Liu, 2011. "The Diffusion of a Process Innovation with Gently Declining Production Cost," Journal of Industry, Competition and Trade, Springer, vol. 11(2), pages 109-129, June.
    7. Charles Hoffreumon & Chris Forman & Nicolas van Zeebroeck, 2024. "Make or buy your artificial intelligence? Complementarities in technology sourcing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 452-479, March.
    8. Ben Aoun - Peltier, Leila & Vicente Cuervo, Maria Rosalia, 2012. "E-commerce diffusion: exploring the determinants of the adoption and extent of usage at firm-level," MPRA Paper 49333, University Library of Munich, Germany.
    9. Ariel Herbert FAMBEU, 2016. "Déterminants De L’Adoption Des Tic Dans Un Pays En Développement : Une Analyse Économétrique Sur Les Entreprises Industrielles Au Cameroun," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 43, pages 159-186.
    10. Waters, James, 2015. "Determinants of initial technology adoption and intensification: evidence from Latin America and the Caribbean," MPRA Paper 61473, University Library of Munich, Germany.
    11. Dahlke, Johannes & Beck, Mathias & Kinne, Jan & Lenz, David & Dehghan, Robert & Wörter, Martin & Ebersberger, Bernd, 2024. "Epidemic effects in the diffusion of emerging digital technologies: evidence from artificial intelligence adoption," Research Policy, Elsevier, vol. 53(2).
    12. Fuentelsaz, Lucio & Gómez, Jaime & Palomas, Sergio, 2012. "Production technologies and financial performance: The effect of uneven diffusion among competitors," Research Policy, Elsevier, vol. 41(2), pages 401-413.
    13. Adel Ben Khalifa, 2022. "Inter- and Intra-firm Diffusion of Technology: the Example of Software, Hardware, and Network Communications Empirical Evidence for Tunisian Manufacturing Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 236-263, March.
    14. Fındık, Derya & Tansel, Aysit, 2013. "Resources on the stage: a firm level analysis of the ict adoption in Turkey," MPRA Paper 65956, University Library of Munich, Germany, revised 05 Aug 2014.
    15. Waters, James, 2013. "The influence of information sources on inter- and intra-firm diffusion: evidence from UK farming," MPRA Paper 50955, University Library of Munich, Germany.
    16. Adel Ben Khalifa, 2018. "Government Supports and Technology Adoption: Evidence from Tunisia," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 43(4), pages 41-70, December.
    17. Capasso, Salvatore & Jappelli, Tullio, 2013. "Financial development and the underground economy," Journal of Development Economics, Elsevier, vol. 101(C), pages 167-178.
    18. Spyros Arvanitis & Marius Christian Ley, 2010. "Factors Determining the Adoption of Energy-saving Technologies in Swiss Firms," KOF Working papers 10-257, KOF Swiss Economic Institute, ETH Zurich.
    19. Adel Ben Youssef & Walid Hadhri & Hatem M’henni, 2010. "Intra-Firm Diffusion of Innovation: Evidence from Tunisian SME’s in Matters of Information and Communication Technologies," Working Papers 532, Economic Research Forum, revised 07 Jan 2010.
    20. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ulb:ulbeco:2013/378623. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Benoit Pauwels (email available below). General contact details of provider: https://edirc.repec.org/data/ecsulbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.